Libraries of approximate circuits: Automated design and application in CNN accelerators
Libraries of approximate circuits are composed of fully characterized digital circuits that can
be used as building blocks of energy-efficient implementations of hardware accelerators …
be used as building blocks of energy-efficient implementations of hardware accelerators …
Approximate circuits
S Reda, M Shafique - Cham: Springer, 2019 - Springer
Approximate computing has emerged as a new paradigm to reduce the resources (eg,
design area and power) required to realize digital systems at the expense of a negligible or …
design area and power) required to realize digital systems at the expense of a negligible or …
autoax: An automatic design space exploration and circuit building methodology utilizing libraries of approximate components
Approximate computing is an emerging paradigm for developing highly energy-efficient
computing systems such as various accelerators. In the literature, many libraries of …
computing systems such as various accelerators. In the literature, many libraries of …
ALWANN: Automatic layer-wise approximation of deep neural network accelerators without retraining
The state-of-the-art approaches employ approximate computing to reduce the energy
consumption of DNN hardware. Approximate DNNs then require extensive retraining …
consumption of DNN hardware. Approximate DNNs then require extensive retraining …
Adapt: Fast emulation of approximate dnn accelerators in pytorch
Current state-of-the-art employs approximate multipliers to address the highly increased
power demands of deep neural network (DNN) accelerators. However, evaluating the …
power demands of deep neural network (DNN) accelerators. However, evaluating the …
Hardware-software codesign of accurate, multiplier-free deep neural networks
While Deep Neural Networks (DNNs) push the state-of-the-art in many machine learning
applications, they often require millions of expensive floating-point operations for each input …
applications, they often require millions of expensive floating-point operations for each input …
Approximate recursive multipliers using low power building blocks
E Zacharelos, I Nunziata, G Saggese… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
Approximate computing, frequently used in error tolerant applications, aims to achieve
higher circuit performances by allowing the possibility of inaccurate results, rather than …
higher circuit performances by allowing the possibility of inaccurate results, rather than …
Approximate arithmetic circuits: A survey, characterization, and recent applications
Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …
efficient design of circuits and systems. For the many approximate arithmetic circuits …
AxHLS: Design space exploration and high-level synthesis of approximate accelerators using approximate functional units and analytical models
J Castro-Godínez, J Mateus-Vargas… - Proceedings of the 39th …, 2020 - dl.acm.org
With the emergence of approximate computing as a design paradigm, many approximate
functional units have been proposed, particularly approximate adders and multipliers. These …
functional units have been proposed, particularly approximate adders and multipliers. These …
Weight-oriented approximation for energy-efficient neural network inference accelerators
ZG Tasoulas, G Zervakis… - … on Circuits and …, 2020 - ieeexplore.ieee.org
Current research in the area of Neural Networks (NN) has resulted in performance
advancements for a variety of complex problems. Especially, embedded system applications …
advancements for a variety of complex problems. Especially, embedded system applications …